BIOENGINEER

Intelligent Undersampling Algorithm Enhances Machine Learning Accuracy on Imbalanced Data

Computer scientists have developed an intelligent undersampling framework that combines density-aware boundary selection with ...
GitHub

machine-learning-project

This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

What are Model Trees? Let's Implement and Compare Them with Regression Trees in Python

One of the representative algorithms in machine learning is the decision tree.A decision tree is a method that makes ...
GitHub

Code for The Green Mirage of Carbon Uptake in a Drying World. Four machine learning models were used to estimate monthly GPP using climate and remote sensing data.

This repository contains the Python code used to reconstruct global gross primary productivity (GPP) from 1982 to 2022 using four machine learning algorithms: Random Forest (RF), Extra Trees (ET), ...